Corrtraits and bifactor scores, ageInYears + sex01, n1601

## [1] "mood_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.5535 -0.7318  0.0196  0.7053  3.7195 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -1.313557   0.134413  -9.773   <2e-16 ***
## ageInYears   0.088309   0.008314  10.622   <2e-16 ***
## sex011       0.131659   0.058142   2.264   0.0237 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9836 on 1150 degrees of freedom
## Multiple R-squared:  0.09428,    Adjusted R-squared:  0.0927 
## F-statistic: 59.85 on 2 and 1150 DF,  p-value: < 2.2e-16

## [1] "psychosis_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.45813 -0.79866 -0.03699  0.73812  3.13767 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -0.963831   0.138116  -6.978 5.03e-12 ***
## ageInYears   0.072985   0.008543   8.543  < 2e-16 ***
## sex011      -0.029937   0.059744  -0.501    0.616    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.011 on 1150 degrees of freedom
## Multiple R-squared:  0.05971,    Adjusted R-squared:  0.05808 
## F-statistic: 36.51 on 2 and 1150 DF,  p-value: 4.218e-16

## [1] "externalizing_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.3548 -0.7263  0.0432  0.7114  3.2752 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -0.71261    0.13176  -5.408 7.74e-08 ***
## ageInYears   0.05613    0.00815   6.887 9.36e-12 ***
## sex011      -0.14888    0.05700  -2.612  0.00912 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9642 on 1150 degrees of freedom
## Multiple R-squared:  0.04414,    Adjusted R-squared:  0.04247 
## F-statistic: 26.55 on 2 and 1150 DF,  p-value: 5.344e-12

## [1] "fear_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.3742 -0.7782 -0.0345  0.7414  3.8793 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -0.88084    0.13984  -6.299 4.26e-10 ***
## ageInYears   0.05111    0.00865   5.909 4.52e-09 ***
## sex011       0.32687    0.06049   5.404 7.93e-08 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.023 on 1150 degrees of freedom
## Multiple R-squared:  0.05455,    Adjusted R-squared:  0.05291 
## F-statistic: 33.18 on 2 and 1150 DF,  p-value: 9.825e-15

## [1] "mood_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.8635 -0.6903 -0.1013  0.6368  3.3181 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -0.998786   0.131395  -7.601 6.06e-14 ***
## ageInYears   0.053392   0.008127   6.569 7.64e-11 ***
## sex011       0.277439   0.056837   4.881 1.20e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9615 on 1150 degrees of freedom
## Multiple R-squared:  0.05678,    Adjusted R-squared:  0.05514 
## F-statistic: 34.61 on 2 and 1150 DF,  p-value: 2.528e-15

## [1] "psychosis_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.4761 -0.4292 -0.2167  0.6212  3.1780 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)
## (Intercept)  0.080893   0.141750   0.571    0.568
## ageInYears  -0.004143   0.008768  -0.473    0.637
## sex011       0.036566   0.061316   0.596    0.551
## 
## Residual standard error: 1.037 on 1150 degrees of freedom
## Multiple R-squared:  0.0004872,  Adjusted R-squared:  -0.001251 
## F-statistic: 0.2803 on 2 and 1150 DF,  p-value: 0.7556

## [1] "externalizing_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.71687 -0.71494 -0.08363  0.64046  3.03380 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept)  0.127334   0.131291   0.970    0.332    
## ageInYears  -0.003322   0.008121  -0.409    0.683    
## sex011      -0.221973   0.056792  -3.909 9.83e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9608 on 1150 degrees of freedom
## Multiple R-squared:  0.01336,    Adjusted R-squared:  0.01164 
## F-statistic: 7.785 on 2 and 1150 DF,  p-value: 0.0004383

## [1] "phobias_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.51793 -0.79343 -0.06447  0.72555  2.93788 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -0.231741   0.138647  -1.671   0.0949 .  
## ageInYears  -0.000956   0.008576  -0.111   0.9113    
## sex011       0.456626   0.059974   7.614 5.53e-14 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.015 on 1150 degrees of freedom
## Multiple R-squared:  0.04801,    Adjusted R-squared:  0.04635 
## F-statistic:    29 on 2 and 1150 DF,  p-value: 5.185e-13

## [1] "overall_psychopathology_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears + sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.57466 -0.71366  0.01075  0.69323  2.86981 
## 
## Coefficients:
##              Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -1.078088   0.136247  -7.913 5.88e-15 ***
## ageInYears   0.080220   0.008428   9.519  < 2e-16 ***
## sex011      -0.019894   0.058936  -0.338    0.736    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9971 on 1150 degrees of freedom
## Multiple R-squared:  0.07303,    Adjusted R-squared:  0.07142 
## F-statistic:  45.3 on 2 and 1150 DF,  p-value: < 2.2e-16

Corrtraits and bifactor scores, ageInYears * sex01, n1601

## [1] "mood_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.6185 -0.7256  0.0101  0.7167  3.6474 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)    
## (Intercept)       -0.99033    0.19027  -5.205  2.3e-07 ***
## ageInYears         0.06723    0.01210   5.558  3.4e-08 ***
## sex011            -0.48320    0.26318  -1.836   0.0666 .  
## ageInYears:sex011  0.03982    0.01662   2.395   0.0168 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9816 on 1149 degrees of freedom
## Multiple R-squared:  0.09878,    Adjusted R-squared:  0.09643 
## F-statistic: 41.98 on 3 and 1149 DF,  p-value: < 2.2e-16

## [1] "psychosis_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.38770 -0.79205 -0.04246  0.75903  3.16211 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)    
## (Intercept)       -0.80961    0.19590  -4.133 3.84e-05 ***
## ageInYears         0.06293    0.01245   5.053 5.06e-07 ***
## sex011            -0.32330    0.27096  -1.193    0.233    
## ageInYears:sex011  0.01900    0.01711   1.110    0.267    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.011 on 1149 degrees of freedom
## Multiple R-squared:  0.06072,    Adjusted R-squared:  0.05827 
## F-statistic: 24.76 on 3 and 1149 DF,  p-value: 1.588e-15

## [1] "externalizing_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.2000 -0.7332  0.0498  0.7137  3.2651 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)   
## (Intercept)       -0.37359    0.18645  -2.004  0.04534 * 
## ageInYears         0.03402    0.01185   2.870  0.00418 **
## sex011            -0.79378    0.25790  -3.078  0.00213 **
## ageInYears:sex011  0.04176    0.01629   2.564  0.01048 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9619 on 1149 degrees of freedom
## Multiple R-squared:  0.04957,    Adjusted R-squared:  0.04709 
## F-statistic: 19.98 on 3 and 1149 DF,  p-value: 1.264e-12

## [1] "fear_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.4459 -0.7617 -0.0308  0.7679  3.8204 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)   
## (Intercept)       -0.61687    0.19814  -3.113  0.00190 **
## ageInYears         0.03390    0.01260   2.691  0.00723 **
## sex011            -0.17527    0.27406  -0.640  0.52261   
## ageInYears:sex011  0.03252    0.01731   1.878  0.06058 . 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 1.022 on 1149 degrees of freedom
## Multiple R-squared:  0.05744,    Adjusted R-squared:  0.05498 
## F-statistic: 23.34 on 3 and 1149 DF,  p-value: 1.142e-14

## [1] "mood_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.8108 -0.6666 -0.0651  0.6501  3.2275 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)   
## (Intercept)       -0.59252    0.18570  -3.191  0.00146 **
## ageInYears         0.02689    0.01181   2.278  0.02291 * 
## sex011            -0.49538    0.25685  -1.929  0.05402 . 
## ageInYears:sex011  0.05005    0.01622   3.085  0.00209 **
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.958 on 1149 degrees of freedom
## Multiple R-squared:  0.06453,    Adjusted R-squared:  0.06208 
## F-statistic: 26.42 on 3 and 1149 DF,  p-value: < 2.2e-16

## [1] "psychosis_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.4542 -0.4372 -0.2043  0.5995  3.2268 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)
## (Intercept)        0.23562    0.20106   1.172    0.241
## ageInYears        -0.01424    0.01278  -1.114    0.266
## sex011            -0.25777    0.27809  -0.927    0.354
## ageInYears:sex011  0.01906    0.01757   1.085    0.278
## 
## Residual standard error: 1.037 on 1149 degrees of freedom
## Multiple R-squared:  0.00151,    Adjusted R-squared:  -0.001097 
## F-statistic: 0.5794 on 3 and 1149 DF,  p-value: 0.6286

## [1] "externalizing_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.68902 -0.70110 -0.07237  0.64748  3.03344 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)    
## (Intercept)        0.52086    0.18560   2.806 0.005094 ** 
## ageInYears        -0.02899    0.01180  -2.457 0.014155 *  
## sex011            -0.97057    0.25671  -3.781 0.000164 ***
## ageInYears:sex011  0.04848    0.01621   2.990 0.002852 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9575 on 1149 degrees of freedom
## Multiple R-squared:  0.02097,    Adjusted R-squared:  0.01842 
## F-statistic: 8.205 on 3 and 1149 DF,  p-value: 2.095e-05

## [1] "phobias_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.52128 -0.81198 -0.05856  0.71866  2.93340 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)
## (Intercept)       -0.06616    0.19663  -0.336    0.737
## ageInYears        -0.01176    0.01250  -0.940    0.347
## sex011             0.14165    0.27198   0.521    0.603
## ageInYears:sex011  0.02040    0.01718   1.187    0.235
## 
## Residual standard error: 1.014 on 1149 degrees of freedom
## Multiple R-squared:  0.04917,    Adjusted R-squared:  0.04669 
## F-statistic: 19.81 on 3 and 1149 DF,  p-value: 1.603e-12

## [1] "overall_psychopathology_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageInYears * sex01, data = newdata)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.51892 -0.70864  0.00061  0.69708  2.88915 
## 
## Coefficients:
##                   Estimate Std. Error t value Pr(>|t|)    
## (Intercept)       -0.95603    0.19328  -4.946 8.69e-07 ***
## ageInYears         0.07226    0.01229   5.881 5.35e-09 ***
## sex011            -0.25208    0.26734  -0.943    0.346    
## ageInYears:sex011  0.01504    0.01689   0.890    0.373    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9971 on 1149 degrees of freedom
## Multiple R-squared:  0.07367,    Adjusted R-squared:  0.07125 
## F-statistic: 30.46 on 3 and 1149 DF,  p-value: < 2.2e-16

Corrtraits and bifactor scores, ageInYears * sex01, n9498

## [1] "mood_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.4675 -0.7004 -0.0251  0.6741  3.9668 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          -1.2380640  0.0456565 -27.117  < 2e-16 ***
## ageAtClinicalAssess1  0.0066353  0.0002615  25.373  < 2e-16 ***
## sex011                0.1301900  0.0227173   5.731 1.04e-08 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9486 on 7050 degrees of freedom
## Multiple R-squared:  0.09165,    Adjusted R-squared:  0.09139 
## F-statistic: 355.7 on 2 and 7050 DF,  p-value: < 2.2e-16

## [1] "psychosis_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.2046 -0.7499 -0.1041  0.7223  3.4561 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          -0.9512454  0.0467147 -20.363   <2e-16 ***
## ageAtClinicalAssess1  0.0054907  0.0002676  20.521   <2e-16 ***
## sex011               -0.0456210  0.0232438  -1.963   0.0497 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9706 on 7050 degrees of freedom
## Multiple R-squared:  0.05636,    Adjusted R-squared:  0.0561 
## F-statistic: 210.5 on 2 and 7050 DF,  p-value: < 2.2e-16

## [1] "externalizing_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.1410 -0.8297  0.0205  0.7255  3.3760 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          -0.5147003  0.0476978 -10.791   <2e-16 ***
## ageAtClinicalAssess1  0.0034643  0.0002732  12.680   <2e-16 ***
## sex011               -0.2015553  0.0237330  -8.493   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.991 on 7050 degrees of freedom
## Multiple R-squared:  0.02948,    Adjusted R-squared:  0.0292 
## F-statistic: 107.1 on 2 and 7050 DF,  p-value: < 2.2e-16

## [1] "fear_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.3991 -0.7497 -0.0047  0.6802  4.0515 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          -0.8781442  0.0469267  -18.71   <2e-16 ***
## ageAtClinicalAssess1  0.0041948  0.0002688   15.61   <2e-16 ***
## sex011                0.2634741  0.0233493   11.28   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.975 on 7050 degrees of freedom
## Multiple R-squared:  0.05479,    Adjusted R-squared:  0.05453 
## F-statistic: 204.3 on 2 and 7050 DF,  p-value: < 2.2e-16

## [1] "mood_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.9518 -0.7055 -0.0991  0.6475  4.4043 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          -0.7741032  0.0460228  -16.82   <2e-16 ***
## ageAtClinicalAssess1  0.0034109  0.0002636   12.94   <2e-16 ***
## sex011                0.3106466  0.0228995   13.57   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9562 on 7050 degrees of freedom
## Multiple R-squared:  0.05229,    Adjusted R-squared:  0.05202 
## F-statistic: 194.5 on 2 and 7050 DF,  p-value: < 2.2e-16

## [1] "psychosis_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.4456 -0.3629 -0.1825  0.4410  4.5461 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)
## (Intercept)           0.0065255  0.0472896   0.138    0.890
## ageAtClinicalAssess1 -0.0001371  0.0002709  -0.506    0.613
## sex011                0.0025211  0.0235298   0.107    0.915
## 
## Residual standard error: 0.9825 on 7050 degrees of freedom
## Multiple R-squared:  3.683e-05,  Adjusted R-squared:  -0.0002468 
## F-statistic: 0.1298 on 2 and 7050 DF,  p-value: 0.8783

## [1] "externalizing_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.7463 -0.7748 -0.1043  0.6864  3.5817 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)           0.3891417  0.0477328   8.153 4.18e-16 ***
## ageAtClinicalAssess1 -0.0014714  0.0002734  -5.382 7.61e-08 ***
## sex011               -0.2911400  0.0237504 -12.258  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9917 on 7050 degrees of freedom
## Multiple R-squared:  0.02675,    Adjusted R-squared:  0.02647 
## F-statistic: 96.89 on 2 and 7050 DF,  p-value: < 2.2e-16

## [1] "phobias_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.5985 -0.7591 -0.0831  0.7052  4.5401 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          -0.2585893  0.0471152  -5.488  4.2e-08 ***
## ageAtClinicalAssess1  0.0004535  0.0002699   1.681   0.0929 .  
## sex011                0.3442835  0.0234431  14.686  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9789 on 7050 degrees of freedom
## Multiple R-squared:  0.03098,    Adjusted R-squared:  0.0307 
## F-statistic: 112.7 on 2 and 7050 DF,  p-value: < 2.2e-16

## [1] "overall_psychopathology_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 + sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.3589 -0.7216 -0.0415  0.6842  3.1760 
## 
## Coefficients:
##                        Estimate Std. Error t value Pr(>|t|)    
## (Intercept)          -1.0856088  0.0464185 -23.387   <2e-16 ***
## ageAtClinicalAssess1  0.0062406  0.0002659  23.472   <2e-16 ***
## sex011               -0.0209238  0.0230964  -0.906    0.365    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9644 on 7050 degrees of freedom
## Multiple R-squared:  0.07271,    Adjusted R-squared:  0.07245 
## F-statistic: 276.4 on 2 and 7050 DF,  p-value: < 2.2e-16

Corrtraits and bifactor scores, ageInYears * sex01, n9498

## [1] "mood_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.5318 -0.7058 -0.0193  0.6718  3.9244 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                 -1.0394061  0.0639614 -16.251  < 2e-16 ***
## ageAtClinicalAssess1         0.0054169  0.0003793  14.280  < 2e-16 ***
## sex011                      -0.2566989  0.0902550  -2.844  0.00447 ** 
## ageAtClinicalAssess1:sex011  0.0023164  0.0005230   4.429 9.62e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9474 on 7049 degrees of freedom
## Multiple R-squared:  0.09417,    Adjusted R-squared:  0.09379 
## F-statistic: 244.3 on 3 and 7049 DF,  p-value: < 2.2e-16

## [1] "psychosis_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.2282 -0.7465 -0.1008  0.7226  3.4356 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                 -1.0038099  0.0655288 -15.319   <2e-16 ***
## ageAtClinicalAssess1         0.0058131  0.0003886  14.958   <2e-16 ***
## sex011                       0.0567489  0.0924666   0.614    0.539    
## ageAtClinicalAssess1:sex011 -0.0006129  0.0005359  -1.144    0.253    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9706 on 7049 degrees of freedom
## Multiple R-squared:  0.05654,    Adjusted R-squared:  0.05614 
## F-statistic: 140.8 on 3 and 7049 DF,  p-value: < 2.2e-16

## [1] "externalizing_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.0619 -0.8136  0.0246  0.7253  3.3779 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                 -0.3534375  0.0668579  -5.286 1.28e-07 ***
## ageAtClinicalAssess1         0.0024752  0.0003965   6.242 4.56e-10 ***
## sex011                      -0.5156169  0.0943422  -5.465 4.78e-08 ***
## ageAtClinicalAssess1:sex011  0.0018804  0.0005467   3.439 0.000586 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9903 on 7049 degrees of freedom
## Multiple R-squared:  0.0311, Adjusted R-squared:  0.03069 
## F-statistic: 75.43 on 3 and 7049 DF,  p-value: < 2.2e-16

## [1] "fear_corrtraitsv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.4418 -0.7495 -0.0075  0.6835  4.0201 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                 -0.7311084  0.0657848 -11.114  < 2e-16 ***
## ageAtClinicalAssess1         0.0032930  0.0003901   8.440  < 2e-16 ***
## sex011                      -0.0228800  0.0928279  -0.246  0.80532    
## ageAtClinicalAssess1:sex011  0.0017145  0.0005379   3.187  0.00144 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9744 on 7049 degrees of freedom
## Multiple R-squared:  0.05615,    Adjusted R-squared:  0.05575 
## F-statistic: 139.8 on 3 and 7049 DF,  p-value: < 2.2e-16

## [1] "mood_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.9189 -0.6866 -0.0895  0.6374  4.2898 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                 -0.2958243  0.0640510  -4.619 3.93e-06 ***
## ageAtClinicalAssess1         0.0004775  0.0003799   1.257    0.209    
## sex011                      -0.6208079  0.0903815  -6.869 7.03e-12 ***
## ageAtClinicalAssess1:sex011  0.0055770  0.0005238  10.648  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9487 on 7049 degrees of freedom
## Multiple R-squared:  0.06729,    Adjusted R-squared:  0.06689 
## F-statistic: 169.5 on 3 and 7049 DF,  p-value: < 2.2e-16

## [1] "psychosis_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -3.4708 -0.3620 -0.1803  0.4418  4.5598 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)  
## (Intercept)                 -0.0828778  0.0663239  -1.250   0.2115  
## ageAtClinicalAssess1         0.0004112  0.0003933   1.045   0.2958  
## sex011                       0.1766352  0.0935887   1.887   0.0592 .
## ageAtClinicalAssess1:sex011 -0.0010425  0.0005424  -1.922   0.0546 .
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9823 on 7049 degrees of freedom
## Multiple R-squared:  0.0005607,  Adjusted R-squared:  0.0001353 
## F-statistic: 1.318 on 3 and 7049 DF,  p-value: 0.2665

## [1] "externalizing_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.7717 -0.7678 -0.1080  0.6774  3.5609 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                  0.6311940  0.0668367   9.444  < 2e-16 ***
## ageAtClinicalAssess1        -0.0029560  0.0003964  -7.457 9.88e-14 ***
## sex011                      -0.7625401  0.0943123  -8.085 7.24e-16 ***
## ageAtClinicalAssess1:sex011  0.0028224  0.0005466   5.164 2.48e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9899 on 7049 degrees of freedom
## Multiple R-squared:  0.03042,    Adjusted R-squared:  0.03001 
## F-statistic: 73.72 on 3 and 7049 DF,  p-value: < 2.2e-16

## [1] "phobias_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.5794 -0.7609 -0.0816  0.7061  4.5050 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                 -0.0904629  0.0660350  -1.370 0.170754    
## ageAtClinicalAssess1        -0.0005776  0.0003916  -1.475 0.140274    
## sex011                       0.0168551  0.0931809   0.181 0.856462    
## ageAtClinicalAssess1:sex011  0.0019604  0.0005400   3.630 0.000285 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9781 on 7049 degrees of freedom
## Multiple R-squared:  0.03278,    Adjusted R-squared:  0.03237 
## F-statistic: 79.64 on 3 and 7049 DF,  p-value: < 2.2e-16

## [1] "overall_psychopathology_4factorv2"
## 
## Call:
## lm(formula = yvar ~ ageAtClinicalAssess1 * sex01, data = newdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.3464 -0.7185 -0.0419  0.6814  3.1636 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                 -1.1172707  0.0651170 -17.158   <2e-16 ***
## ageAtClinicalAssess1         0.0064348  0.0003862  16.662   <2e-16 ***
## sex011                       0.0407382  0.0918856   0.443    0.658    
## ageAtClinicalAssess1:sex011 -0.0003692  0.0005325  -0.693    0.488    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9645 on 7049 degrees of freedom
## Multiple R-squared:  0.07277,    Adjusted R-squared:  0.07238 
## F-statistic: 184.4 on 3 and 7049 DF,  p-value: < 2.2e-16